Zobrazeno 1 - 7 of 7 pro vyhledávání: '"A L Rutskov"'
1
Neural fuzzy network configurator for calculating a residual life of production equipment
Autor: M E Semenov, S A Ilina, A L Rutskov
Publikováno v: Journal of Physics: Conference Series. 2291:012004
In this paper, an intelligent fault diagnosis scheme based on big data analysis method and adaptive neuro-fuzzy inference system (ANFIS) is proposed. An experimental study is given on the example of an electric drive of a stirrer of a hydrogenator re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e200b535d88b4ff23ba9a747075f1823
https://doi.org/10.1088/1742-6596/2291/1/012004
Zobrazit plný text záznamu
3
Technical and economic optimization of fuel facilities – energy complex using elements of fuzzy logic and artificial neural networks
Autor: A L Rutskov, L V Volkov, Ya P Fedorov
Publikováno v: IOP Conference Series: Materials Science and Engineering. 1089:012031
This article discusses the possibilities of optimizing the fuel and energy complex by improving the accuracy of the forecast of the state in both the operational and medium-term periods: from an hour to several years. The model used to implement the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84559b39b2475a84e31521842e6bdffd
https://doi.org/10.1088/1757-899x/1089/1/012031
Zobrazit plný text záznamu
4
Elements realization of software-algorithmic system optimization of technological processes based on adaptive methods
Autor: Ya.P. Fedorov, V L Burkovsky, E V Sidorenko, A L Rutskov
Publikováno v: IOP Conference Series: Materials Science and Engineering. 791:012034
The paper examines a possibility to optimize complex technological processes of energy resources transfer and consumption. Notes the importance of unidentified and weakly formalized factors consideration, which influence quality of the described obje
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::14f9cbb5f05b7717bea21d6e16dcb375
https://doi.org/10.1088/1757-899x/791/1/012034
Zobrazit plný text záznamu
5
Increase in accuracy forecast for electrical energy consumption of the WEM subjects using fuzzy neural networks
Autor: V L Burkovsky, A L Rutskov, Ya.P. Fedorov
Publikováno v: IOP Conference Series: Materials Science and Engineering. 791:012027
This paper covers in depth functioning essence of the balancing electricity market in the Russian Federation in accordance with the current economic stimuli. Significant role of the prediction process for energy resources consumption has been noted,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9ae12f6c6c96b72cdc88d7843e5723ca
https://doi.org/10.1088/1757-899x/791/1/012027
Zobrazit plný text záznamu
6
Akademický článek
Elements realization of software-algorithmic system optimization of technological processes based on adaptive methods.
Autor: A L Rutskov, E V Sidorenko, V L Burkovsky, Ya P Fedorov
Publikováno v: IOP Conference Series: Materials Science & Engineering; Apr2020, Vol. 791 Issue 1, p1-1, 1p
Zobrazit plný text záznamu
7
Akademický článek
Increase in accuracy forecast for electrical energy consumption of the WEM subjects using fuzzy neural networks.
Autor: Ya P Fedorov, V L Burkovsky, A L Rutskov
Publikováno v: IOP Conference Series: Materials Science & Engineering; Apr2020, Vol. 791 Issue 1, p1-1, 1p
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje